Scopus ID: 56348978100
Web of Science Researcher ID: AAS-5248-2020

Alfonso Maria Ponsiglione graduated in Biomedical Engineering in 2013 at the University of Naples “Federico II”.

Between 2014 and 2015 he woked as software programmer and healthcare ICT consultant.

From 2016 he worked as doctoral student at the Center for Advanced Biomaterials for Healthcare of the Istituto Italiano di Tecnologia in Naples, where he conducted research in the field of biomaterials and nanomedicine, and he achieved the Ph.D. in “Industrial Product and Process Engineering” in 2019 at the University of Naples "Federico II".

From 2019 to 2021 he was research fellow in biomedical engineering at the Department of Electrical Engineering and Information Technology and at the Department of Chemical Materials and Production Engineering of the University of Naples “Federico II”.

He is currently a researcher in Biomedical Engineering at the Department of Electrical Engineering and Information Technology of the University of Naples "Federico II" and teacher of the "Healthcare System Management" course for the Master's Degree Program in Biomedical Engineering at the same university. He is also co-founder of Kyme NanoImaging Srl, a biotech startup developing products for Medical Imaging.

His main competences and interests range from the processing and analysis of biomedical signals and data to the modelling and simulation of healthcare systems, to the design of biomaterials and nanotechnologies for medical applications, and to the business development of biotech products.

He currently carries out research in the following areas:

Biomedical data and signal processing and analysis:

- Processing and analysis of biosignals with particular regard to heart rate signals.
- Statistical analysis and modeling in biomedical research.

Management and automation of heatlhcare organizations:

- Simulation models for healthcare operations.
- Analysis and optimization of healthcare processes.
- Lean and Six Sigma in healthcare.

Clinical decision-making tools and methods:

- Development of tools and methodology to support clinical decision-making.
- Health Technology Assessment.